ArticleJAMA neurology2021
Seizure Cycles in Focal Epilepsy.
Article in JAMA neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
104 citing papers in PubMed, 181 citations in OpenAlex.
- Automated Sleep Staging in Epilepsy Using Deep Learning on Standard Electroencephalogram and Wearable Data.Journal of sleep research · 2025Trial
- Early assessment of responsive neurostimulation for drug-resistant epilepsy in China: A multicenter, self-controlled study.Chinese medical journal · 2025Trial
- Review
- Circadian Rhythms Time Seizure Severity inJournal of biological rhythms · 2026Article
- Quantifying spike train synchrony and directionality: Measures and Applications.Biological cybernetics · 2026Review
- Article
- Review
- Article
- Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification.NPJ digital medicine · 2026Article
- Circular mixture model-based characterization of time-of-day seizure patterns during presurgical monitoring.Scientific reports · 2026Article
- Detrended fluctuation analysis of amygdala-hippocampal beta synchrony reveals network rigidity in depression associated with temporal lobe epilepsy.Journal of neural engineering · 2026Article
- Article
- Article
- Cyclic Recurrence of Seizures as a Marker for Super-Refractory Status Epilepticus.Brain and behavior · 2026Article
- Timing is everything: Expert opinion on researching epilepsy rhythms by the ILAE Task Force on Chronobiology.Epilepsia · 2026Review
- Neurobehavioral Signatures of Epileptogenesis: Molecular Programs, Trait-like Phenotypes, and Translational Biomarkers Beyond Seizures.International journal of molecular sciences · 2026Review
- Factors associated with epileptiform discharges in patients visiting a memory clinic: A retrospective study.Epilepsy & behavior reports · 2026Article
- RLIP76: a versatile ATP-dependent transporter as a pharmacotherapeutic target for epilepsy management.Inflammopharmacology · 2026Review
- Pathway to Adaptive Neuromodulation: Modeling Epileptogenic Brain States Using SEEG.Epilepsy currents · 2026Article
- Explainability in AI-enabled medical neurotechnology: a scoping review.Journal of neuroengineering and rehabilitation · 2026Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. Objective: To establish the prevalence, strength, and temporal patterns of seizure cycles over timescales of hours to years. Design, Setting, and Participants: This retrospective cohort study analyzed data from continuous intracranial electroencephalography (cEEG) and seizure diaries collected between January 19, 2004, and May 18, 2018, with durations up to 10 years. A total of 222 adults with medically refractory focal epilepsy were selected from 256 total participants in a clinical trial of an implanted responsive neurostimulation device. Selection was based on availability of cEEG and/or self-reports of disabling seizures. Exposures: Antiseizure medications and responsive neurostimulation, based on clinical indications. Main Outcomes and Measures: Measures involved (1) self-reported daily seizure counts, (2) cEEG-based hourly counts of electrographic seizures, and (3) detections of interictal epileptiform activity (IEA), which fluctuates in daily (circadian) and multiday (multidien) cycles. Outcomes involved descriptive characteristics of cycles of IEA and seizures: (1) prevalence, defined as the percentage of patients with a given type of seizure cycle; (2) strength, defined as the degree of consistency with which seizures occur at certain phases of an underlying cycle, measured as the phase-locking value (PLV); and (3) seizure chronotypes, defined as patterns in seizure timing evident at the group level. Results: Of the 222 participants, 112 (50%) were male, and the median age was 35 years (range, 18-66 years). The prevalence of circannual (approximately 1 year) seizure cycles was 12% (24 of 194), the prevalence of multidien (approximately weekly to approximately monthly) seizure cycles was 60% (112 of 186), and the prevalence of circadian (approximately 24 hours) seizure cycles was 89% (76 of 85). Strengths of circadian (mean [SD] PLV, 0.34 [0.18]) and multidien (mean [SD] PLV, 0.34 [0.17]) seizure cycles were comparable, whereas circannual seizure cycles were weaker (mean [SD] PLV, 0.17 [0.10]). Across individuals, circadian seizure cycles showed 5 peaks: morning, mid-afternoon, evening, early night, and late night. Multidien cycles of IEA showed peak periodicities centered around 7, 15, 20, and 30 days. Independent of multidien period length, self-reported and electrographic seizures consistently occurred during the days-long rising phase of multidien cycles of IEA. Conclusions and Relevance: Findings in this large cohort establish the high prevalence of plural seizure cycles and help explain the natural variability in seizure timing. The results have the potential to inform the scheduling of diagnostic studies, the delivery of time-varying therapies, and the design of clinical trials in epilepsy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.